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Desirable design characteristics for long-term monitoring of ecological variables
Authors:W Scott Overton  Stephen V Stehman
Institution:(1) Department of Statistics, Oregon State University, Kidder 44, 97331 Corvallis, OR, USA;(2) SUNY College of Environmental Science and Forestry, 320 Bray Hall, 13210 Syracuse, NY, USA
Abstract:Long-term environmental monitoring places a set of demands on a sampling strategy not present in a survey designed for a single time period. The inevitability that a sample will become out of date must be a dominant consideration in planning a long-term monitoring programme. The sampling strategy must be able to accommodate periodic frame update and sample restructuring in order to address changes in the composition of the universe and changes in the perception of issues leading to new questions and concerns. The sampling strategy must be capable of adapting to such changes while maintaining its identification as a probability sample and its capacity to detect trends that span the update occasions. These issues are examined with respect to sub-population estimation, post-stratification via conditioning, and sample enlargement and reduction. Design features that involve complex sample structure create potentially serious difficulties, whereas an equal probability design permits greater adaptability and flexibility. Structure should be employed sparingly and in awareness of its undesirable effects.
Keywords:conditioning  poststratification  probability sampling  subpopulation estimation
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